Triple

T440639
Position Surface form Disambiguated ID Type / Status
Subject Sacred Valley E10105 entity
Predicate mainCity P3207 FINISHED
Object Urubamba E57802 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Urubamba | Statement: [Sacred Valley, mainCity, Urubamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urubamba
Context triple: [Sacred Valley, mainCity, Urubamba]
  • A. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • B. Urubamba River chosen
    The Urubamba River is a major waterway in Peru’s Andes that carves through the region of Machu Picchu and the Sacred Valley, playing a crucial role in Inca history and agriculture.
  • C. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • D. Chocontá
    Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
  • E. Imbabura Kichwa
    Imbabura Kichwa is a regional variety of the Kichwa (Quechuan) language spoken primarily by Indigenous communities in Ecuador’s Imbabura province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4529020888190952a8e8665f501c6 completed March 1, 2026, 2:52 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.